“Dulling the Edges”
Bibliographic record
Abstract
BACKGROUND: The death of a male friend can be challenging for men because expressions of grief can be governed and restrained by dominant ideals of masculinity. It is common for young men to engage in health risk practices, such as alcohol overuse, to deal with feelings of sadness. OBJECTIVE: This qualitative study investigated the ways that young men use alcohol in the process of grieving the accidental death of a male friend. METHOD: Participants included 35 men 19 to 25 years old and 22 men 26 to 35 years old who participated in individual semistructured interviews between 2010 and 2012. RESULTS: Methodology informed by grounded theory and narrative analysis was used to analyse and interpret the transcribed interviews, focusing on the ways that men used alcohol in the grief process. Through data analysis we inductively derived three themes: (1) Using Alcohol to Dull the Pain, (2) Using Alcohol to Purge Sadness, and (3) Troubled Drinking. CONCLUSIONS: This study provides evidence to show that men's binge drinking following tragic loss is a means to express emotion and connect with others. Health interventions for young men who have lost a male peer need to be sensitive to gendered norms that inform grief practices and work with them to discern pathways toward recovery that promote long-term wellness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".